Difference between revisions of "Hypernyms Through Intra-Article Organization in Wikipedia"
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+ | {{Infobox work | ||
+ | | title = Hypernyms Through Intra-Article Organization in Wikipedia | ||
+ | | date = 2018 | ||
+ | | authors = [[Disha Shrivastava]]<br />[[Sreyash Kenkre]]<br />[[Santosh Penubothula]] | ||
+ | | link = https://econpapers.repec.org/paper/nadwpaper/20180012.htm | ||
+ | | plink = http://arxiv.org/pdf/1809.00414.pdf | ||
+ | }} | ||
'''Hypernyms Through Intra-Article Organization in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2018, written by [[Disha Shrivastava]], [[Sreyash Kenkre]] and [[Santosh Penubothula]]. | '''Hypernyms Through Intra-Article Organization in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2018, written by [[Disha Shrivastava]], [[Sreyash Kenkre]] and [[Santosh Penubothula]]. | ||
== Overview == | == Overview == | ||
Authors introduce a new measure for unsupervised hypernym detection and directionality. The motivation is to keep the measure computationally light and portatable across languages. Authors show that the relative physical location of words in explanatory articles captures the directionality property. Further, the phrases in section titles of articles about the word, capture the [[semantic similarity]] needed for hypernym detection task. Authors experimentally show that the combination of [[features]] coming from these two simple [[measures]] suffices to produce results comparable with the best unsupervised measures in terms of the average precision. | Authors introduce a new measure for unsupervised hypernym detection and directionality. The motivation is to keep the measure computationally light and portatable across languages. Authors show that the relative physical location of words in explanatory articles captures the directionality property. Further, the phrases in section titles of articles about the word, capture the [[semantic similarity]] needed for hypernym detection task. Authors experimentally show that the combination of [[features]] coming from these two simple [[measures]] suffices to produce results comparable with the best unsupervised measures in terms of the average precision. |
Revision as of 11:46, 20 February 2020
Authors | Disha Shrivastava Sreyash Kenkre Santosh Penubothula |
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Publication date | 2018 |
Links | Original Preprint |
Hypernyms Through Intra-Article Organization in Wikipedia - scientific work related to Wikipedia quality published in 2018, written by Disha Shrivastava, Sreyash Kenkre and Santosh Penubothula.
Overview
Authors introduce a new measure for unsupervised hypernym detection and directionality. The motivation is to keep the measure computationally light and portatable across languages. Authors show that the relative physical location of words in explanatory articles captures the directionality property. Further, the phrases in section titles of articles about the word, capture the semantic similarity needed for hypernym detection task. Authors experimentally show that the combination of features coming from these two simple measures suffices to produce results comparable with the best unsupervised measures in terms of the average precision.